Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective.
Florin GogianuTudor BerariuMihaela RoscaClaudia ClopathLucian BusoniuRazvan PascanuPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- state space
- spectral analysis
- reinforcement learning algorithms
- learning algorithm
- multi agent reinforcement learning
- machine learning
- multispectral images
- model free
- optimal policy
- viewpoint
- spectral images
- information retrieval
- temporal difference learning
- hyperspectral imagery
- real time
- function approximators
- robotic control
- action space
- hyperspectral images
- optimal control
- image data
- learning process
- multi agent
- genetic algorithm